Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +40 -0
- config.json +86 -0
- model.safetensors +3 -0
- model.safetensors.index.json +423 -0
- special_tokens_map.json +34 -0
- tokenizer.json +3 -0
- tokenizer_config.json +70 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: other
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library_name: transformers
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tags:
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- mlx
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widget:
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- text: '<start_of_turn>user
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How does the brain work?<end_of_turn>
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<start_of_turn>model
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'
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inference:
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parameters:
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max_new_tokens: 200
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extra_gated_heading: Access Gemma on Hugging Face
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extra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and
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agree to Google’s usage license. To do this, please ensure you’re logged-in to Hugging
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Face and click below. Requests are processed immediately.
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extra_gated_button_content: Acknowledge license
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license_name: gemma-terms-of-use
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license_link: https://ai.google.dev/gemma/terms
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---
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# sugatoray/mlx-gemma-2b-it-q4bits
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This model was converted to MLX format from [`google/gemma-2b-it`]().
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Refer to the [original model card](https://huggingface.co/google/gemma-2b-it) for more details on the model.
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## Use with mlx
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```bash
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pip install mlx-lm
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```
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```python
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from mlx_lm import load, generate
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model, tokenizer = load("sugatoray/mlx-gemma-2b-it-q4bits")
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response = generate(model, tokenizer, prompt="hello", verbose=True)
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```
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config.json
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{
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"vocab_size": 256000,
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"max_position_embeddings": 8192,
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"hidden_size": 2048,
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"intermediate_size": 16384,
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"num_hidden_layers": 18,
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"num_attention_heads": 8,
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"head_dim": 256,
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"num_key_value_heads": 1,
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"hidden_act": "gelu",
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"initializer_range": 0.02,
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"rms_norm_eps": 1e-06,
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"use_cache": true,
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"rope_theta": 10000.0,
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"attention_bias": false,
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"attention_dropout": 0.0,
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"return_dict": true,
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"output_hidden_states": false,
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"output_attentions": false,
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"torchscript": false,
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"torch_dtype": "bfloat16",
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"use_bfloat16": false,
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"tf_legacy_loss": false,
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"pruned_heads": {},
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"tie_word_embeddings": true,
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"chunk_size_feed_forward": 0,
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"is_encoder_decoder": false,
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"is_decoder": false,
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"cross_attention_hidden_size": null,
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"add_cross_attention": false,
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"tie_encoder_decoder": false,
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"max_length": 20,
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"min_length": 0,
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"do_sample": false,
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"early_stopping": false,
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"num_beams": 1,
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"num_beam_groups": 1,
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"diversity_penalty": 0.0,
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"temperature": 1.0,
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"top_k": 50,
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"top_p": 1.0,
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"typical_p": 1.0,
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"repetition_penalty": 1.0,
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"length_penalty": 1.0,
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"output_scores": false,
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"return_dict_in_generate": false,
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"forced_bos_token_id": null,
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"forced_eos_token_id": null,
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"remove_invalid_values": false,
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"suppress_tokens": null,
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"begin_suppress_tokens": null,
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"architectures": [
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"GemmaForCausalLM"
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],
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"finetuning_task": null,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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"label2id": {
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"LABEL_0": 0,
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},
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"tokenizer_class": null,
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"prefix": null,
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"bos_token_id": 2,
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"sep_token_id": null,
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"decoder_start_token_id": null,
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"task_specific_params": null,
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"problem_type": null,
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"_name_or_path": "/Users/sugatoray/.cache/huggingface/hub/models--google--gemma-2b-it/snapshots/9f5abd187467338b36f75c06bf2bda7b2e7eb404",
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"transformers_version": "4.38.1",
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"model_type": "gemma",
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"rope_scaling": null,
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"quantization": {
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"group_size": 64,
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"bits": 4
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}
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f0b7326ef70120724b1d6912d7d16a530821bce6e25a6826baef58123dfb6d5c
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size 2163541255
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model.safetensors.index.json
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|
58 |
+
"bos_token": "<bos>",
|
59 |
+
"chat_template": "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '\n' + message['content'] | trim + '<end_of_turn>\n' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model\n'}}{% endif %}",
|
60 |
+
"clean_up_tokenization_spaces": false,
|
61 |
+
"eos_token": "<eos>",
|
62 |
+
"legacy": null,
|
63 |
+
"model_max_length": 1000000000000000019884624838656,
|
64 |
+
"pad_token": "<pad>",
|
65 |
+
"sp_model_kwargs": {},
|
66 |
+
"spaces_between_special_tokens": false,
|
67 |
+
"tokenizer_class": "GemmaTokenizer",
|
68 |
+
"unk_token": "<unk>",
|
69 |
+
"use_default_system_prompt": false
|
70 |
+
}
|